Memos: Revisiting Hybrid Memory Management in Modern Operating System

Liu, Lei; Xie, Mengyao; Yang, Haipeng

doi:10.48550/arxiv.1703.07725

Cited by 1 publication

(2 citation statements)

References 18 publications

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“…We simulate the structure of requests using open-source web-traffic trace-generator [21], each file is given a size and popularity index with values sampled from the respective distributions. The Hybrid-Memory System is simulated in an in-house cycle-accurate simulator (Python-based adapted from [22], modified with policies described), which runs on Algorithm 2 Eviction and Admission Policies [17], [24]. Several traces are generated with varying mean file size, file size variance and Zipf's Parameter, each consists of ∼ 25 million user-requests and ∼ 1 million unique objects.…”

Section: Discussion and Performance Analysis A Experimental Setupmentioning

confidence: 99%

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NV-Fogstore : Device-aware hybrid caching in fog computing environments

Sethi¹

2020

Preprint

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Edge caching via the placement of distributed storages throughout the network is a promising solution to reduce latency and network costs of content delivery. With the advent of the upcoming 5G future, billions of F-RAN (Fog-Radio Access Network) nodes will created and used for for the purpose of Edge Caching. Hence, the total amount of memory deployed at the edge is expected to increase 100 times.Currently, used DRAM-based caches in CDN (Content Delivery Networks) are extremely power hungry and costly. Our purpose is to reduce the cost of ownership and recurring costs (of power consumption) in an F-RAN node while maintaining Quality of Service.For our purpose, we propose N V − F ogStore, a scalable hybrid key-value storage architecture for the utilization of Non-Volatile Memories (such as RRAM, MRAM, Intel Optane) in Edge Cache.We further describe in detail a novel, hierarchical, writedamage, size and frequency aware content caching policy H − GREEDY for our architecture.We show that our policy can be tuned as per performance objectives, to lower the power, energy consumption and total cost over an only DRAM-based system for only a relatively smaller trade-off in the average access latency.

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Section: Discussion and Performance Analysis A Experimental Setupmentioning

confidence: 99%

“…Hybrid NVM-DRAM Systems in Computing have been explored which involves techniques for hot-page migration and mitigation write amplification for management of Lastlevel caches, Persistent memory and Storage-class Memory (SCM). [17]- [19].…”

Section: Related Workmentioning

confidence: 99%

NV-Fogstore : Device-aware hybrid caching in fog computing environments

Sethi¹

2020

Preprint

View full text Add to dashboard Cite

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Memos: Revisiting Hybrid Memory Management in Modern Operating System

Cited by 1 publication

References 18 publications

NV-Fogstore : Device-aware hybrid caching in fog computing environments

NV-Fogstore : Device-aware hybrid caching in fog computing environments

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